# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""
The model of APDrawingGAN
"""

from mindspore import nn


class APDrawingGAN(nn.Cell):
    """APDrawingGAN"""
    def __init__(self, myTrainOneStepCellForD, myTrainOneStepCellForG, auto_prefix=True):
        super(APDrawingGAN, self).__init__(auto_prefix=auto_prefix)
        self.myTrainOneStepCellForD = myTrainOneStepCellForD
        self.myTrainOneStepCellForG = myTrainOneStepCellForG

    def construct(self, *inputs, **kwargs):
        output_G = self.myTrainOneStepCellForG(*inputs, **kwargs).view(-1)
        net_G_loss = output_G.mean()
        net_D_loss = 0.0
        output_D = self.myTrainOneStepCellForD(*inputs, **kwargs).view(-1)
        net_D_loss = output_D.mean()
        return net_D_loss, net_G_loss
